How to Develop a Single Channel Electrocardiograph with a Low Budget

Martinez, Amanda Costa; Pfrimer, Felipe Walter Dafico; Costa, Mathias Scroccaro; Nakano, Ana Márcia Spanó

doi:10.1109/tla.2018.8362137

Cited by 7 publications

(4 citation statements)

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“…Equation ( 13) describes the behavior of the adaptive filter, where Y MAV is the filtered ECG signal, x i is the ECG signal read from the patient with EMI noise, and the filter order N is a function of sampling frequency (f a ) and fundamental frequency of the estimated EMI noise through the PLL (f n ), as shown in Equation (14). The variation of the filter order as a function of the EMI frequency guarantees an adequate filtering even when there is a variation in the EMI frequency.…”

Section: Adaptive Moving Average Filter (Mav)mentioning

confidence: 99%

“…Improvements in the classical techniques can be seen in the works presented in [11][12][13][14]. The filtering techniques are tested digitally with ECG signals added to sinusoidal noises at the frequency of the network and with amplitude up to four times greater.…”

Section: Introductionmentioning

confidence: 99%

“…In [14], a low-cost equipment was developed, with a simple channel and with a three-way cable for the acquisition of the ECG signal. To eliminate noise, a third-order Butterworth bandpass filter with a 0.5 Hz to 35.0 Hz bandwidth is used.…”

Section: Introductionmentioning

confidence: 99%

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Improved Noise Cancelling Algorithm for Electrocardiogram Based on Moving Average Adaptive Filter

et al. 2021

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The electrocardiogram (ECG) is basic equipment used in the diagnosis of cardiac illness. However, in non-developed countries, most of the population does not have access to medical tests, and many hospitals do not even have these ECGs. On the other hand, the electrical signals generated by the heart and acquired by the ECG have low power and are affected by electromagnetic interference (EMI), mainly produced by the electrical system. Filtering EMI when frequency varies is a challenging task. Within this context, this work aims to produce an easy-to-use low-cost ECG with good electromagnetic disturbances rejection. The proposed noise rejection system is composed of two moving average filters and a phase-locked-loop, namely 2MAV-PLL. The system operates with a low sampling frequency and attenuates the EMI noise present in the ECG signal regardless of the amplitude, obtaining a filtered signal with a 44-dB signal–noise ratio (SNR) between the frequencies of ± 10 Hz of the fundamental frequency. Simulation and experimental results prove that the ECG system can attenuate the EMI using relatively low sampling frequency, giving adequate information for health professionals to properly evaluate an electrocardiogram.

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Section: Adaptive Moving Average Filter (Mav)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improved Noise Cancelling Algorithm for Electrocardiogram Based on Moving Average Adaptive Filter

et al. 2021

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“…Benzer bir başka çalışmada, bir kullanıcının sağlığı ile ilgili klinik olarak anlamlı bilgilerin kaydedilmesi için bir biyopotansiyel veri kaydedici tasarlanmış olup cihazın test edilmesi sonucunda elektrokardiyograf (EKG) ve ivme ölçer sinyallerinin alındığı doğrulanmıştır (Cook, Gargiulo, Lehmann ve Hamilton, 2015) . İnsan kalbinin elektriksel aktivitesini tek bir kanaldan yakalayabilen ve gösterebilen bir EKG'nin yapısı bu çalışmada modellenmiştir (Costa Martinez, Walter Dafico Pfrimer, Scroccaro Costa ve Yoshihiro Nakano, 2018) .…”

Section: Endüstriunclassified

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2021

İstanbul Sabahattin Zaim Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Açık Kaynak ve Özgür Yazılımlar verimlilik, kullanılabilirlik, güvenlik, tasarruf, girişimcilik ve daha birçok açısından oldukça önemlidir. Bu çalışma, açık kaynak ve özgür yazılım başlığı altındaki "özgür yazılım", "açık kaynak yazılım" ve "açık kaynak donanım" kavramları ile ilgili farklı yazarlar tarafından elde edilen çalışmaların incelemesini sunmaktadır. Bu sayede çalışmalar hakkında okuyucuya özet bilgiler sunarak konu ile ilgili okuyucunun ön bilgilenmesini sağlamak ve gerekli olan yol haritasını ortaya koymayı hedeflemektedir. Bu çalışma, genel olarak "Eğitim", "Sağlık", "Bilişim-Teknoloji" ve "Endüstri" alanındaki yayınlar üzerine yoğunlaşmıştır.

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